GHSA-G99C-G7MV-2XPG

Vulnerability from github – Published: 2026-05-28 12:30 – Updated: 2026-05-28 12:30
VLAI
Details

In the Linux kernel, the following vulnerability has been resolved:

media: saa7164: add ioremap return checks and cleanups

Add checks for ioremap return values in saa7164_dev_setup(). If ioremap for BAR0 or BAR2 fails, release the already allocated PCI memory regions, remove the device from the global list, decrement the device count, and return -ENODEV.

This prevents potential null pointer dereferences and ensures proper cleanup on memory mapping failures.

Show details on source website

{
  "affected": [],
  "aliases": [
    "CVE-2026-46235"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-05-28T10:16:39Z",
    "severity": null
  },
  "details": "In the Linux kernel, the following vulnerability has been resolved:\n\nmedia: saa7164: add ioremap return checks and cleanups\n\nAdd checks for ioremap return values in saa7164_dev_setup(). If\nioremap for BAR0 or BAR2 fails, release the already allocated PCI\nmemory regions, remove the device from the global list, decrement\nthe device count, and return -ENODEV.\n\nThis prevents potential null pointer dereferences and ensures proper\ncleanup on memory mapping failures.",
  "id": "GHSA-g99c-g7mv-2xpg",
  "modified": "2026-05-28T12:30:34Z",
  "published": "2026-05-28T12:30:34Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-46235"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/3ce8f3057c51bb0a66aa3fab0862be74e9f88684"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/6047dc542fa404b5c187cc2c7906aaaaec6d11ed"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/6c22a6d8e4c1507bba504aeebe80476144a373eb"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/a9b83f46e52cf1239d780920d1a7a3e415f7b5d9"
    },
    {
      "type": "WEB",
      "url": "https://git.kernel.org/stable/c/d51c60a498e83c9a79884c8e420f97e3885c9583"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}


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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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